Table 3.
Univariate logistic regression model: association between the overall preterm births and COVID-19 lockdown period
| Variable | Complete lockdown compared to the same time period in 20191 | Overall lockdown compared to the same time period in 20192 | Overall lockdown compared to the same time period in 2015 to 20193 | |||
|---|---|---|---|---|---|---|
| Year of birth | OR (95% CI) (unadjusted) | P-value | OR (95% CI) (unadjusted) | P-value | OR (95% CI) (unadjusted) | P-value |
| Year of birth 2020 | 1.01 (0.94 to 1.10) | 0.75 | 1.03 (0.97 to 1.09) | 0.32 | 1.07 (1.03 to 1.12) | <0.001 |
| Year of birth 2019 | 1.00 (reference) | 1.00 (reference) | ||||
| Year of birth 2019 to 2015 | 1.00 (reference) | |||||
Outcome variable − overall preterm (0/1)—1= any preterm, 0 = term, and post term. The event = 1 (= any preterm) and independent variable is year of birth.
1Complete lockdown vs. the same calendar period of the previous year = 15th March to 31st July 2020 vs. 15th March to 31st July 2019.
2Overall lockdown vs. the same calendar period of the previous year = 15th March to 31st December 2020 vs. 15th March to 31st December 2019.
3Overall lockdown vs. the same calendar period of the previous 5 years = 15th March to 31st December 2020 vs. 15th March to 31st December 2015 to 2019